The overall suitability can be computed using the `overall_suit` function, which takes an object of class suitability. For example,

``````library(ALUES)
banana_suit <- suit("banana", terrain=MarinduqueLT)
``````
``````## Warning in suitability(terrain, crop_soil, mf = mf, sow_month = NULL, minimum
## = minimum, : maximum is set to 16 for factor CECc since all parameter intervals
## are equal.
``````
``````class(banana_suit[["terrain"]])
``````
``````##  "character"
``````
``````class(banana_suit[["soil"]])
``````
``````##  "suitability"
``````

There are no factors that were targetted for the terrain characteristics, hence the returned value is a string error. Thus, only the soil characteristics can have an overall suitability, and is computed as follows:

``````ovsuit <- overall_suit(banana_suit[["soil"]])
``````
``````##   Score Class
## 1     0     N
## 2     0     N
## 3     0     N
## 4     0     N
## 5     0     N
## 6     0     N
``````

By default, the `overall_suit` function uses minimum as a summary statistics, hence the 0 scores and N classes across land units. To adjust this to average aggregation, use the `method` argument to specify.

``````ovsuit <- overall_suit(banana_suit[["soil"]], method="average")
``````
``````##       Score Class
## 1 0.6505051    S2
## 2 0.6569697    S2
## 3 0.6537374    S2
## 4 0.6537374    S2
## 5 0.6472727    S2
## 6 0.6656566    S2
``````

## Intervals

By default, the `overall_suit` uses an equally spaced interval for the suitability classes, that is, N [0, 0.25), S3 [0.25, 0.50), S2 [0.50, 0.75), and S1 [0.75, 1]. This can be changed using the `interval` argument, for example

``````ovsuit <- overall_suit(banana_suit[["soil"]], method="average", interval=c(0, 0.6, 0.7, 0.9, 1))
``````##       Score Class
The above code sets the suitability class intervals into: N [0, 0.60), S3 [0.60, 0.70), S2 [0.70, 0.90), and S1 [0.90, 1]. It should be emphasized that the `interval` argument cannot be set to `unbias` as in the case of the `interval` argument of the `suit` function. This follows from the fact that the `overall_suit` function is not using a membership function for computing the score, but an aggregation function.